Design of a Prototypic Mental Health Ontology for Sentiment Analysis of Tweets
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9090-8_19
Reference11 articles.
1. Antonakaki D, Fragopoulou P, Ioannidis S (2021) A survey of Twitter research: data model, graph structure, sentiment analysis and attacks. Expert Syst Appl 164:114006
2. Barkur G, Vibha GBK (2020) Sentiment analysis of nationwide lockdown due to COVID 19 outbreak: evidence from India. Asian J Psychiatr 51:102089
3. Ahmed MS, Aurpa TT, Anwar MM (2021) Detecting sentiment dynamics and clusters of Twitter users for trending topics in COVID-19 pandemic. PLoS ONE 16(8):e0253300
4. Narayanasamy SK, Kathiravan Srinivasan SMQ, Chang CY (2021) Ontology-enabled emotional sentiment analysis on COVID-19 pandemic-related Twitter streams. Front. Public Health 9
5. Rains LS, Johnson S, Barnett P, Steare T, Needle JJ, Carr S, Simpson A (2021) Early impacts of the COVID-19 pandemic on mental health care and people with mental health conditions: framework synthesis of international experiences and responses. Soc Psychiatry Psychiatr Epidemiol 56(1):13–24
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